The Quantum Approximate Optimization Algorithm at High Depth for MaxCut on Large-Girth Regular Graphs and the Sherrington-Kirkpatrick Model

Joao Basso, Edward Farhi, Kunal Marwaha, Benjamin Villalonga, Leo Zhou. The Quantum Approximate Optimization Algorithm at High Depth for MaxCut on Large-Girth Regular Graphs and the Sherrington-Kirkpatrick Model. In François Le Gall, Tomoyuki Morimae, editors, 17th Conference on the Theory of Quantum Computation, Communication and Cryptography, TQC 2022, July 11-15, 2022, Urbana Champaign, Illinois, USA. Volume 232 of LIPIcs, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022. [doi]

@inproceedings{BassoFMVZ22,
  title = {The Quantum Approximate Optimization Algorithm at High Depth for MaxCut on Large-Girth Regular Graphs and the Sherrington-Kirkpatrick Model},
  author = {Joao Basso and Edward Farhi and Kunal Marwaha and Benjamin Villalonga and Leo Zhou},
  year = {2022},
  doi = {10.4230/LIPIcs.TQC.2022.7},
  url = {https://doi.org/10.4230/LIPIcs.TQC.2022.7},
  researchr = {https://researchr.org/publication/BassoFMVZ22},
  cites = {0},
  citedby = {0},
  booktitle = {17th Conference on the Theory of Quantum Computation, Communication and Cryptography, TQC 2022, July 11-15, 2022, Urbana Champaign, Illinois, USA},
  editor = {François Le Gall and Tomoyuki Morimae},
  volume = {232},
  series = {LIPIcs},
  publisher = {Schloss Dagstuhl - Leibniz-Zentrum für Informatik},
  isbn = {978-3-95977-237-2},
}